Swathi Sheshadri

597 citations
20 papers · 411 indexed · h-index 8
Topics
Neuroscience and Neural Engineering (14 papers)Muscle activation and electromyography studies (10 papers)EEG and Brain-Computer Interfaces (8 papers)

In The Last Decade

Swathi Sheshadri

17 papers receiving 408 citations

Peers

Swathi Sheshadri
Comparison fields: 5 of 55
  • Cellular and Molecular Neuroscience 277
  • Biomedical Engineering 211
  • Cognitive Neuroscience 190
  • Polymers and Plastics 88
  • Electrical and Electronic Engineering 64
Replace Noah M. Ledbetter with:
Noah M. Ledbetter United States
Annarita Cutrone Italy
Ivan Furfaro Switzerland
R.A. Peck United States
Klaus P. Hoffmann Germany
Chin Su Koh South Korea
Gergely Márton Hungary
P Matteucci Australia
Xiaohong Sui China
Hamid Charkhkar United States
Swathi Sheshadri relative to Noah M. Ledbetter United States Noah M. Ledbetter's profile →
Citations per field
00.5×4.8×
Noah M. Ledbetter · 1×
Citations per year

Countries citing papers authored by Swathi Sheshadri

Since Specialization
Citations

This map shows the geographic impact of Swathi Sheshadri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Swathi Sheshadri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swathi Sheshadri more than expected).

Fields of papers citing papers by Swathi Sheshadri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swathi Sheshadri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Swathi Sheshadri. The network helps show where Swathi Sheshadri may publish in the future.

Co-authorship network of co-authors of Swathi Sheshadri

This figure shows the co-authorship network connecting the top 25 collaborators of Swathi Sheshadri. A scholar is included among the top collaborators of Swathi Sheshadri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Swathi Sheshadri. Swathi Sheshadri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 82
5 23
6 12
7 3
8 61
9 37
10 2
11 6
12 4
13 97
14 27
15 41
16 4
17 1
18 7
19 2
20 0

About Swathi Sheshadri

Swathi Sheshadri is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Polymers and Plastics, having authored 20 papers that have together received 411 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Muscle activation and electromyography studies (10 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (277 citations), Cognitive Neuroscience (190 citations) and Polymers and Plastics (88 citations). Swathi Sheshadri has collaborated with scholars based in Singapore, United States and India. Frequent co-authors include Nitish V. Thakor, Zhuolin Xiang, Chengkuo Lee, Sanghoon Lee, Shih‐Cheng Yen, Ning Xue, Jiahui Wang, Benjamin Dann, Ignacio Delgado and Hansjörg Scherberger. Their work appears in journals such as Advanced Materials, Neuron and IEEE Transactions on Biomedical Engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026